Nahla Ben Amor

According to our database1, Nahla Ben Amor authored at least 113 papers between 2000 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
A New Dynamic Community-Based Recommender System.
Proceedings of the 15th International Conference on Agents and Artificial Intelligence, 2023

An Optimized Quantum Circuit Representation of Bayesian Networks.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2023

2022
Solving possibilistic games with incomplete information.
Int. J. Approx. Reason., 2022

Approximating voting rules from truncated ballots.
Auton. Agents Multi Agent Syst., 2022

Possibilistic Preference Networks and Lexicographic Preference Trees - A Comparison.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2022

2021
Conditional Preference Networks - Refining Solution Orderings Beyond Pareto Dominance.
Proceedings of the Advances and Trends in Artificial Intelligence. Artificial Intelligence Practices, 2021

2020
Strategies in Case-Based Argumentation-Based Negotiation: An Application for the Tourism Domain.
Proceedings of the Highlights in Practical Applications of Agents, Multi-Agent Systems, and Trust-worthiness. The PAAMS Collection, 2020

Highlighting the user's primary criterion in text mining-based recommendation system.
Proceedings of the International Multi-Conference on: "Organization of Knowledge and Advanced Technologies", 2020

Ordinal Polymatrix Games with Incomplete Information.
Proceedings of the 17th International Conference on Principles of Knowledge Representation and Reasoning, 2020

Ordinal Graph-Based Games.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2020

Computing All Equilibria in Ordinal Graphical Games.
Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 2020

2019
Solving sequential collective decision problems under qualitative uncertainty.
Int. J. Approx. Reason., 2019

Special issue: Selected papers from Fuzzy Logic and Applications (LFA 2016).
Fuzzy Sets Syst., 2019

Lexicographic refinements in possibilistic decision trees and finite-horizon Markov decision processes.
Fuzzy Sets Syst., 2019

Using Convolutional Neural Network in Cross-Domain Argumentation Mining Framework.
Proceedings of the Scalable Uncertainty Management - 13th International Conference, 2019

Possibilistic Games with Incomplete Information.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Reinforcement Learning for New Adaptive Gamified LMS.
Proceedings of the Digital Economy. Emerging Technologies and Business Innovation, 2019

A New Generic Framework for Mediated Multilateral Argumentation-Based Negotiation Using Case-Based Reasoning.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2019

Revisiting Conditional Preferences: From Defaults to Graphical Representations.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2019

Single Transferable Vote: Incomplete Knowledge and Communication Issues.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

2018
A generic fuzzy approach for multi-objective optimization under uncertainty.
Swarm Evol. Comput., 2018

Possibilistic preference networks.
Inf. Sci., 2018

On the Use of Linear Combination in PWCP-Nets.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2018

An Evolutionary Approach for Learning Opponent's Deadline and Reserve Points in Multi-Issue Negotiation.
Int. J. Interact. Multim. Artif. Intell., 2018

Lexicographic refinements in stationary possibilistic Markov Decision Processes.
Int. J. Approx. Reason., 2018

Representation of Multiple Agent Preferences - A Short Survey.
Proceedings of the Scalable Uncertainty Management - 12th International Conference, 2018

The Communication Burden of Single Transferable Vote, in Practice.
Proceedings of the Algorithmic Game Theory - 11th International Symposium, 2018

A New Generic Framework for Argumentation-Based Negotiation Using Case-Based Reasoning.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations, 2018

2017
Expressivity of Possibilistic Preference Networks with Constraints.
Proceedings of the Scalable Uncertainty Management - 11th International Conference, 2017

Representing and reasoning with constrained PCP-nets.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

Equilibria in Ordinal Games: A Framework based on Possibility Theory.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Social Activities Recommendation System for Students in Smart Campus.
Proceedings of the Intelligent Interactive Multimedia Systems and Services 2017, 2017

Graphical Representations of Multiple Agent Preferences.
Proceedings of the Advances in Artificial Intelligence: From Theory to Practice, 2017

Aggregating Top-K Lists in Group Recommendation Using Borda Rule.
Proceedings of the Advances in Artificial Intelligence: From Theory to Practice, 2017

Possibilistic MDL: A New Possibilistic Likelihood Based Score Function for Imprecise Data.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2017

Efficient Policies for Stationary Possibilistic Markov Decision Processes.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2017

Algorithms for Multi-criteria Optimization in Possibilistic Decision Trees.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2017

2016
Proactive and reactive e-government services recommendation.
Univers. Access Inf. Soc., 2016

Probabilistic relational model benchmark generation: Principle and application.
Intell. Data Anal., 2016

Possibilistic Networks: Parameters Learning from Imprecise Data and Evaluation strategy.
CoRR, 2016

Graphical Models for Preference Representation: An Overview.
Proceedings of the Scalable Uncertainty Management - 10th International Conference, 2016

β-Robustness Approach for Fuzzy Multi-objective Problems.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2016

A Hybrid Approach for Probabilistic Relational Models Structure Learning.
Proceedings of the Advances in Intelligent Data Analysis XV - 15th International Symposium, 2016

A Dynamic Community-Based Personalization for e-Government Services.
Proceedings of the 9th International Conference on Theory and Practice of Electronic Governance, 2016

Lexicographic Refinements in Possibilistic Decision Trees.
Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016

Preference Modeling with Possibilistic Networks and Symbolic Weights: A Theoretical Study.
Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016

2015
Apprentissage des réseaux possibilistes à partir de données.
Rev. d'Intelligence Artif., 2015

Décision collective sous incertitude possibiliste. Principes et axiomatisation.
Rev. d'Intelligence Artif., 2015

SemCaDo: A serendipitous strategy for causal discovery and ontology evolution.
Knowl. Based Syst., 2015

Probabilistic Weighted CP-nets.
Proceedings of the Intelligent Decision Technologies, 2015

Uncertainty Management in Multi-leveled Risk Assessment: Context of IMS-QSE.
Proceedings of the Current Approaches in Applied Artificial Intelligence, 2015

Multi-round Vote Elicitation for Manipulation under Candidate Uncertainty.
Proceedings of the 27th IEEE International Conference on Tools with Artificial Intelligence, 2015

Learning possibilistic networks from data: a survey.
Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (IFSA-EUSFLAT-15), 2015

Evaluating Product-Based Possibilistic Networks Learning Algorithms.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2015

Possibilistic Conditional Preference Networks.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2015

Egalitarian Collective Decision Making under Qualitative Possibilistic Uncertainty: Principles and Characterization.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
A generic framework for a compilation-based inference in probabilistic and possibilistic networks.
Inf. Sci., 2014

Possibilistic sequential decision making.
Int. J. Approx. Reason., 2014

Inference using compiled min-based possibilistic causal networks in the presence of interventions.
Fuzzy Sets Syst., 2014

Possibilistic Networks: A New Setting for Modeling Preferences.
Proceedings of the Scalable Uncertainty Management - 8th International Conference, 2014

Multi-agent conditional preference networks with incomplete and different structure.
Proceedings of the 6th International Conference of Soft Computing and Pattern Recognition, 2014

A hybrid approach based on decision trees and clustering for breast cancer classification.
Proceedings of the 6th International Conference of Soft Computing and Pattern Recognition, 2014

Collaborative Filtering based on Dynamic Community Detection.
Proceedings of the 2nd International Workshop on Dynamic Networks and Knowledge Discovery, 2014

New Pareto Approach for Ranking Triangular Fuzzy Numbers.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2014

Solving Multi-criteria Decision Problems under Possibilistic Uncertainty Using Optimistic and Pessimistic Utilities.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2014

A Three Stages to Implement Barriers in Bayesian-Based Bow Tie Diagram.
Proceedings of the Modern Advances in Applied Intelligence, 2014

Random Generation and Population of Probabilistic Relational Models and Databases.
Proceedings of the 26th IEEE International Conference on Tools with Artificial Intelligence, 2014

Optimization algorithms for multi-objective problems with fuzzy data.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making, 2014

2013
Probability-Possibility Transformation: - Application to Bayesian and Possibilistic Networks.
Proceedings of the Fuzzy Logic and Applications - 10th International Workshop, 2013

Imputation of Possibilistic Data for Structural Learning of Directed Acyclic Graphs.
Proceedings of the Fuzzy Logic and Applications - 10th International Workshop, 2013

Possibilistic Graphical Models: From Reasoning to Decision Making.
Proceedings of the Fuzzy Logic and Applications - 10th International Workshop, 2013

A Possibilistic Framework for Solving Multi-objective Problems under Uncertainty: Definition of New Pareto Optimality.
Proceedings of the 2013 IEEE International Symposium on Parallel & Distributed Processing, 2013

Active learning of causal Bayesian networks using ontologies: A case study.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

A Comparative Study of Compilation-Based Inference Methods for Min-Based Possibilistic Networks.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2013

An intelligent framework for e-government personalized services.
Proceedings of the 14th Annual International Conference on Digital Government Research, 2013

2012
Possibilistic Local Structure for Compiling Min-Based Networks.
Proceedings of the Synergies of Soft Computing and Statistics for Intelligent Data Analysis, 2012

Inference Using Compiled Product-Based Possibilistic Networks.
Proceedings of the Advances in Computational Intelligence, 2012

2011
Experimental Comparative Study of Compilation-Based Inference in Bayesian and Possibilitic Networks.
Proceedings of the Fuzzy Logic and Applications - 9th International Workshop, 2011

On the Complexity of Decision Making in Possibilistic Decision Trees.
Proceedings of the UAI 2011, 2011

An Augmented-Based Approach for Compiling Min-based Possibilistic Causal Networks.
Proceedings of the IEEE 23rd International Conference on Tools with Artificial Intelligence, 2011

A Two-way Approach for Probabilistic Graphical Models Structure Learning and Ontology Enrichment.
Proceedings of the KEOD 2011, 2011

SemCaDo: A Serendipitous Strategy for Learning Causal Bayesian Networks Using Ontologies.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2011

Compiling Min-based Possibilistic Causal Networks: A Mutilated-Based Approach.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2011

2010
Compiling Possibilistic Networks: Alternative Approaches to Possibilistic Inference.
Proceedings of the UAI 2010, 2010

Necessity-Based Choquet Integrals for Sequential Decision Making under Uncertainty.
Proceedings of the Computational Intelligence for Knowledge-Based Systems Design, 2010

A New Approach to Construct Optimal Bow Tie Diagrams for Risk Analysis.
Proceedings of the Trends in Applied Intelligent Systems, 2010

A dynamic barriers implementation in Bayesian-based bow tie diagrams for risk analysis.
Proceedings of the 8th ACS/IEEE International Conference on Computer Systems and Applications, 2010

2009
Special Issue on the Ninth European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU 2007).
Int. J. Approx. Reason., 2009

Naïve possibilistic network classifiers.
Fuzzy Sets Syst., 2009

Qualitative possibilistic influence diagrams based on qualitative possibilistic utilities.
Eur. J. Oper. Res., 2009

A Multi-objective Approach to Implement an Integrated Management System: Quality, Security, Environment.
Proceedings of the IEEE International Conference on Systems, 2009

Integrating Ontological Knowledge for Iterative Causal Discovery and Visualization.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2009

Brain Tumor Segmentation Using Support Vector Machines.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2009

2008
Learning and Evaluating Bayesian Network Equivalence Classes from Incomplete Data.
Int. J. Pattern Recognit. Artif. Intell., 2008

Decision trees as possibilistic classifiers.
Int. J. Approx. Reason., 2008

SIM-PDT: A Similarity Based Possibilistic Decision Tree Approach.
Proceedings of the Foundations of Information and Knowledge Systems, 2008

2007
Inférence dans les réseaux possibilistes basés sur le conditionnement ordinal.
Rev. d'Intelligence Artif., 2007

Information Affinity: A New Similarity Measure for Possibilistic Uncertain Information.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2007

Learning Causal Bayesian Networks from Incomplete Observational Data and Interventions.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2007

2006
Réseaux bayésiens naïfs et arbres de décision dans les systèmes de détection d'intrusions.
Tech. Sci. Informatiques, 2006

Learning Bayesian Network Equivalence Classes from Incomplete Data.
Proceedings of the Discovery Science, 9th International Conference, 2006

2005
Graphoid Properties Of Qualitative Possibilistic Independence Relations.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2005

Qualitative Inference in Possibilistic Option Decision Trees.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2005

Towards a Definition of Evaluation Criteria for Probabilistic Classifiers.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2005

2004
Naive Bayes vs decision trees in intrusion detection systems.
Proceedings of the 2004 ACM Symposium on Applied Computing (SAC), 2004

Qualitative classification and evaluation in possibilistic decision trees.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2004

2003
Anytime propagation algorithm for min-based possibilistic graphs.
Soft Comput., 2003

Decision Trees and Qualitative Possibilistic Inference: Application to the Intrusion Detection Problem.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2003

Multi-Granularity Metrics for the Era of Strongly Personalized SOCs.
Proceedings of the 2003 Design, 2003

2002
A Theoretical Framework for Possibilistic Independence in a Weakly Ordered Setting.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2002

Anytime Possibilistic Propagation Algorithm.
Proceedings of the Soft-Ware 2002: Computing in an Imperfect World, 2002

2001
A Two-Steps Algorithm for Min-Based Possibilistic Causal Networks.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2001

2000
Independence in qualitative uncertainty frameworks.
Proceedings of the KR 2000, 2000


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